def __init__(self, maker, params, recalculate): the_fold = maker.get_param(params, 'f') hp = maker.get_param(params, 'hp') num_states = maker.get_param(params, 'ns') max_iter = maker.get_param(params, 'mx') which_obj = maker.get_param(params, 'wob') which_infer = maker.get_param(params, 'wif') which_reg = maker.get_param(params, 'wreg') self.hp = hp self.the_fold = the_fold training_list = self.the_fold.get_training_names() testing_list = self.the_fold.get_testing_names() import _test try: self.theta = _test.get_theta_given_training_data_and_hypers(maker, params, recalculate, num_states, max_iter, which_obj, which_reg, which_infer, training_list) if len(self.theta) == 0: raise Exception("couldn't train") self.results = _test.get_results_given_testing_data_and_theta(maker, params, recalculate, self.theta, which_infer, testing_list, num_states) if len(self.results.scores) == 0: raise Exception("couldn't test") except Exception as e: print e self.set_faulty() else: self.set_not_faulty()